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Improving efficiency of COVID-19 aggregate case and death surveillance data transmission for jurisdictions: current and future role of application programming interfaces (APIs).
Khan, Diba; Park, Meeyoung; Lerma, Samuel; Soroka, Stephen; Gaughan, Denise; Bottichio, Lyndsay; Bray, Monika; Fukushima, Mary; Bregman, Brooke; Wiedeman, Caleb; Duck, William; Dee, Deborah; Gundlapalli, Adi; Suthar, Amitabh B.
  • Khan D; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Park M; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Lerma S; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Soroka S; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Gaughan D; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Bottichio L; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Bray M; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Fukushima M; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Bregman B; California Department of Public Health, Sacramento, California, USA.
  • Wiedeman C; Tennessee Department of Public Health, Nashville, Tennessee, USA.
  • Duck W; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Dee D; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Gundlapalli A; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Suthar AB; Coronavirus Disease Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
J Am Med Inform Assoc ; 29(10): 1807-1809, 2022 09 12.
Article in English | MEDLINE | ID: covidwho-1878796
ABSTRACT
During the coronavirus disease-2019 (COVID-19) pandemic, the Centers for Disease Control and Prevention (CDC) supplemented traditional COVID-19 case and death reporting with COVID-19 aggregate case and death surveillance (ACS) to track daily cumulative numbers. Later, as public health jurisdictions (PHJs) revised the historical COVID-19 case and death data due to data reconciliation and updates, CDC devised a manual process to update these records in the ACS dataset for improving the accuracy of COVID-19 case and death data. Automatic data transfer via an application programming interface (API), an intermediary that enables software applications to communicate, reduces the time and effort in transferring data from PHJs to CDC. However, APIs must meet specific content requirements for use by CDC. As of March 2022, CDC has integrated APIs from 3 jurisdictions for COVID-19 ACS. Expanded use of APIs may provide efficiencies for COVID-19 and other emergency response planning efforts as evidenced by this proof-of-concept. In this article, we share the utility of APIs in COVID-19 ACS.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: Jamia